Amazon RDS vs Google Cloud SQL comparison

Amazon Web Services (AWS) and Google are both solutions in the Database as a Service (DBaaS) category. Amazon Web Services (AWS) is ranked #2 with an average rating of 8.3, while Google is ranked #6 with an average rating of 7.9. Amazon Web Services (AWS) holds a 11.8% mindshare in DS, compared to Google’s 7.4% mindshare. Additionally, 98% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 100% of Google users who would recommend it.

Amazon RDS

Read 58 Amazon RDS reviews

4,538 Views
4,266 Comparison Views

98% willing to recommend

Google Cloud SQL

Read 24 Google Cloud SQL reviews

2,805 Views
2,609 Comparison Views

100% willing to recommend

Amazon RDS

Google Cloud SQL

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Executive SummaryUpdated on Feb 8, 2026

Amazon RDS and Google Cloud SQL are competitors in the cloud-based database services category. Amazon RDS seems to have the upper hand in deployment agility and availability, while Google Cloud SQL shines in cost-effectiveness and management simplicity.

Features: Amazon RDS is praised for easy database creation, seamless integration with AWS services, and its ability to support multiple database engines like MySQL, Oracle, SQL Server, and Amazon Aurora. It also offers automated CI/CD tools, serverless options, and high resilience. Google Cloud SQL is appreciated for its automatic backups, high availability, and strong data protection. It ensures seamless integration with GCP services and provides a user-friendly, cost-effective solution for managing various data needs.

Room for Improvement: Amazon RDS could benefit from simplifying configuration complexities, enhancing shell access, and offering expanded support for more database engines. Cost management features also require improvement. Google Cloud SQL should improve integration with external data sources and provide more intuitive data analysis tools. Users have also noted a need for enhanced documentation and support for high-end I/O operations.

Ease of Deployment and Customer Service: Amazon RDS is favored for its straightforward deployment in the cloud, though it receives criticism for the responsiveness of its technical support without premium options. Google Cloud SQL is acknowledged for effective support services, yet there is room for improvement in initial response times and documentation clarity. Both platforms offer sufficient support, with premium services recommended for complex issues.

Pricing and ROI: Amazon RDS has mixed reviews on pricing, attributed to high costs that are often justified by operational savings and scalability benefits. Its pay-as-you-go model is beneficial, but unexpected expenses necessitate careful cost monitoring. Google Cloud SQL is competitively priced, offering predictable and lower costs, making it an attractive option. Both services assure ROI, with Amazon RDS's comprehensive management and high availability adding to its value proposition.

To learn more, read our detailed Amazon RDS vs. Google Cloud SQL Report (Updated: April 2026).

Buyer's Guide

Amazon RDS vs. Google Cloud SQL

April 2026

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

Amazon RDS

Ranking in Database as a Service (DBaaS)

2nd

Ranking in Relational Databases Tools

9th

Average Rating

8.4

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

No ranking in other categories

Google Cloud SQL

Ranking in Database as a Service (DBaaS)

6th

Ranking in Relational Databases Tools

18th

Average Rating

8.2

Reviews Sentiment

6.2

Number of Reviews

Ranking in other categories

Database Management Systems (DBMS) (9th)

Mindshare comparison

As of April 2026, in the Database as a Service (DBaaS) category, the mindshare of Amazon RDS is 11.8%, down from 25.1% compared to the previous year. The mindshare of Google Cloud SQL is 7.4%, down from 16.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Database as a Service (DBaaS) Mindshare Distribution
Product	Mindshare (%)
Amazon RDS	11.8%
Google Cloud SQL	7.4%
Other	80.8%

Database as a Service (DBaaS)

Featured Reviews

Baqir Sajjad

AWS Architect at Virtual University

Customer support and automated backups offer reliability while ease of deployment enhances user experience

The features of Amazon RDS that I have found most valuable include web and mobile applications, enterprise applications, data warehousing and analytics, and software as a service platforms, along with dev testing environments, disaster recoveries, and backups. The mobile app backend and development environment is also the best feature for database management for my customers. Database management is effective in Amazon RDS because it offers automated backups, high availability, read replicas, and support from multiple database engineers, while also providing security, monitoring and metrics, scalability. We are using snapshots and database migrations as well as performance optimization. The impact of Amazon RDS scalability and backup has been positive, with good vertical scaling, scale up and down, horizontal scaling, and storage scaling. The performance was good and availability helped with reducing downtime.

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Rituraj NSIT

SDE 2 at Virtusa

Drag and drop workflows have simplified data mapping and currently improve my cloud database work

The IPaaS Connector, which I have found most valuable, is part of Google Cloud SQL. Google Cloud's user interface is really good, which improves efficiency in my database operations. The UI is excellent, making it easier to understand what we are doing. Currently, I am working on IPaaS Connector, so it is really just a clickable interface without writing any code. I simply use drag and drop and connecting lines, and it is working. Google Cloud SQL's global infrastructure improves our database's latency metrics because we are using Gemini in our project. Since both are products of Google, it makes our product faster.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"The initial setup is straightforward, and technical support is good."

"I use Amazon RDS to store and manage data securely. It helps me retrieve information and gain insights from the data that comes in for my business or specific applications."

"The product is very, very easy to use."

"The impact of Amazon RDS scalability and backup has been positive, with good vertical scaling, scale up and down, horizontal scaling, and storage scaling."

"Very easy to start with."

"The product's installation phase is easy."

"The most valuable aspect of Amazon RDS is it is on the cloud."

"The initial setup is straightforward, and technical support is good."

More Amazon RDS pros

"The initial setup is straightforward."

"The deployment model allows for significant control and flexibility."

"Ease of management and the ability to oversee the statistics of your SQL."

"It runs really well, it's cheap, it's efficient, it's user-friendly."

"The implementation part of the product was easy."

"This is a stable solution and offers good performance."

"I found its storage and security to be the most valuable. It was a good experience. It is also very stable and scalable, and its support is perfect."

"It's all built into the web browser, so any operating system will work."

More Google Cloud SQL pros

Cons

"Some features are disabled, like running "alter system/database". There are Amazon alternatives, but it is not transparent to the application."

"Some of the features will not be there. For example, some on-premises things we want to set up will not be supported there."

"The Performance Monitor they have is a little clanky, at least in regards to the UI."

"Amazon cannot guarantee the stability of some extensions, and there is a need for different extensions to meet PCI requirements."

"Amazon RDS could improve by having more sophisticated. I use other solutions that have better technology for more difficult tasks."

"The solution's version upgrade and performance could be improved."

"Sometimes the interface has many moving parts, which is a concern."

"It would be better if it integrated seamlessly with Microsoft products. Our clients use the Microsoft Tally application server. We already tried to create a reputation from, for example, an on-premises environment from our client to Amazon RDS using Microsoft Tally server, and we couldn't do that because we didn't have a strong user in RDS. We couldn't create a reputation from an on-premises environment from the Microsoft Tally server to RDS. I think that it would be a good implementation, and it would help us with this case."

More Amazon RDS cons

"When discussing media files, such as images and audio files, stored in Google Cloud, concerns about handling large amounts of data arise."

"There are a few UI glitches that I have noticed recently, specifically something called data mapping in IPaaS Connector. When I click a button such as open configuration on data map configuration, the UI becomes totally white, no text is visible clearly, and it is very frustrating."

"In my opinion the most vulnerable problem with Google SQL is each SQL node is provided with a public IP address."

"To create a seamless data integration, the title integration of these databases with the data integration platforms is essential."

"I would appreciate more flexibility with specific extensions applicable to engines like PostgreSQL. This would enhance the capabilities of Google Cloud SQL."

"For write operations – yes, as there is no MySQL clustering mode."

"Google's technical support is good, but they tend to never reopen a case and to send us snippets from the publicly available documentation. It's not as helpful as you would expect, not just for Google Cloud SQL but for all of Google Cloud products."

"The only thing that could be better is the pricing."

More Google Cloud SQL cons

Pricing and Cost Advice

"The cost is manageable because you can see the expense associated with each instance and utilize tools for tagging and cost control."

"I would rate the tool's pricing an eight out of ten."

"The product is expensive."

"The prices for different regions are different."

"The cost depends on the kind of instance we use."

"Amazon RDS could improve by reducing the price."

"On a scale from one to ten, where ten is the most expensive, and one is the cheapest, I rate the solution's pricing a seven out of ten."

"Amazon RDS is an expensive solution."

More Amazon RDS pricing and cost advice

"The pricing is very much an important factor as to why we use this solution."

"From a financial perspective, Google Cloud SQL is on the cheaper side."

"While the platform’s pricing may be higher, it aligns with industry standards, considering the quality of service and features provided."

"The solution is affordable."

"It's really cheap. It wouldn't be more than, I believe it's around 50 euro per month for running a cloud SQL."

"It is not expensive, especially considering the significant reduction in database management time."

"You need to pay extra costs for backup and replication."

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Top Industries

By visitors reading reviews

Computer Software Company

10%

Financial Services Firm

10%

University

Manufacturing Company

Financial Services Firm

14%

Educational Organization

12%

Computer Software Company

University

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	22
Midsize Enterprise	16
Large Enterprise	22

By reviewers
Company Size	Count
Small Business	9
Midsize Enterprise	5
Large Enterprise	10

Questions from the Community

What is your experience regarding pricing and costs for Amazon RDS?

The pricing for Amazon RDS is reasonable.

See all answers

What needs improvement with Amazon RDS?

Currently, I cannot think of any major improvements. Perhaps more platforms in terms of database engine versions would be beneficial. Right now, Amazon RDS supports MySQL and PostgreSQL, but there ...

See all answers

What is your primary use case for Amazon RDS?

I am a Solutions Architect, so I design solutions for our clients. Prior to this role, I was an implementation engineer, so I also implement solutions for our customers.

See all answers

What is your experience regarding pricing and costs for Google Cloud SQL?

We have set up automated patch management for Google Cloud SQL, and it does on a daily basis what needs to be done, so it is pretty good overall for maintaining our database security.

See all answers

What needs improvement with Google Cloud SQL?

I would to improve a few glitches in Google Cloud SQL that I have recently noticed. There are a few UI glitches that I have noticed recently, specifically something called data mapping in IPaaS Con...

See all answers

What is your primary use case for Google Cloud SQL?

I am not working with Oracle; everything I am working on is on Google. I would like to improve a few glitches in Google Cloud SQL that I have recently noticed. There are a few UI glitches that I ha...

See all answers

Comparisons

MongoDB Atlas vs Amazon RDS

Compared 14% of the time

Microsoft Azure SQL Database vs Amazon RDS

Compared 10% of the time

Oracle Database as a Service vs Amazon RDS

Compared 8% of the time

Yugabyte Cloud vs Amazon RDS

Compared 7% of the time

Oracle Exadata Cloud at Customer vs Amazon RDS

Compared 5% of the time

More Amazon RDS Competitors

Microsoft Azure SQL Database vs Google Cloud SQL

Compared 21% of the time

MongoDB Atlas vs Google Cloud SQL

Compared 15% of the time

Google Cloud Spanner vs Google Cloud SQL

Compared 5% of the time

Amazon Aurora vs Google Cloud SQL

Compared 5% of the time

Oracle Database as a Service vs Google Cloud SQL

Compared 5% of the time

More Google Cloud SQL Competitors

Product Reports

Buyer's Guide

Amazon RDS

April 2026

Download Amazon RDS product report

Buyer's Guide

Google Cloud SQL

April 2026

Download Google Cloud SQL product report

Also Known As

RDS

No data available

Overview

Amazon Relational Database Service (Amazon RDS) is a web service that makes it easier to set up, operate, and scale a relational database in the cloud. It provides cost-efficient, resizeable capacity for an industry-standard relational database and manages common database administration tasks.

Amazon Web Services (AWS)

Google Cloud SQL is a fully-managed database service that makes it easy to set up, maintain, manage, and administer your relational PostgreSQL and MySQL databases in the cloud. Google Cloud SQL offers high performance, scalability, and convenience. Hosted on Google Cloud Platform, Cloud SQL provides a database infrastructure for applications running anywhere.

Google

Sample Customers

Edmodo

BeDataDriven, CodeFutures, Daffodil, GenieConnect, KiSSFLOW, LiveHive, SulAm_rica, Zync

Buyer's Guide

Amazon RDS vs. Google Cloud SQL

April 2026

Free Report: Amazon RDS vs. Google Cloud SQL

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